[BUG] Joining MultiIndex with Int64Index does not find common columns

[bdice]

Describe the bug
Joining MultiIndex with Int64Index does not find common columns.

Steps/Code to reproduce bug
This doctest (#9815) fails:

cudf/python/cudf/cudf/core/_base_index.py

Lines 1100 to 1115 in 582cc6e

	>>> import cudf
	>>> lhs = cudf.DataFrame(
	... {"a":[2, 3, 1], "b":[3, 4, 2]}).set_index(['a', 'b']
	... ).index
	>>> lhs
	MultiIndex([(2, 3),
	(3, 4),
	(1, 2)],
	names=['a', 'b'])
	>>> rhs = cudf.DataFrame({"a":[1, 4, 3]}).set_index('a').index
	>>> rhs
	Int64Index([1, 4, 3], dtype='int64', name='a')
	>>> lhs.join(rhs, how='inner')
	MultiIndex([(3, 4),
	(1, 2)],
	names=['a', 'b'])

The common column name a between the MultiIndex lhs and Int64Index rhs is not found. The following exception is raised:

Failed example:
    lhs.join(rhs, how='inner')
Exception raised:
    Traceback (most recent call last):
      File "/home/bdice/code/compose/etc/conda/cuda_11.5/envs/rapids/lib/python3.8/doctest.py", line 1336, in __run
        exec(compile(example.source, filename, "single",
      File "<doctest BaseIndex.join[5]>", line 1, in <module>
        lhs.join(rhs, how='inner')
      File "/home/bdice/code/cudf/python/cudf/cudf/core/_base_index.py", line 1166, in join
        output = lhs._merge(rhs, how=how, on=on, sort=sort)
      File "/home/bdice/code/cudf/python/cudf/cudf/core/frame.py", line 3819, in _merge
        return merge_cls(
      File "/home/bdice/code/cudf/python/cudf/cudf/core/join/join.py", line 83, in __init__
        self._validate_merge_params(
      File "/home/bdice/code/cudf/python/cudf/cudf/core/join/join.py", line 413, in _validate_merge_params
        raise ValueError("No common columns to perform merge on")
    ValueError: No common columns to perform merge on

Expected behavior
Pandas matches the expected behavior of the docstring:

>>> lhs = pd.DataFrame({"a": [2, 3, 1], "b": [3, 4, 2]}).set_index(["a", "b"]).index
>>> lhs
MultiIndex([(2, 3),
            (3, 4),
            (1, 2)],
           names=['a', 'b'])
>>> rhs = pd.DataFrame({"a": [1, 4, 3]}).set_index("a").index
>>> rhs
Int64Index([1, 4, 3], dtype='int64', name='a')
>>> lhs.join(rhs)
MultiIndex([(2, 3),
            (3, 4),
            (1, 2)],
           names=['a', 'b'])
>>> lhs.join(rhs, how="inner")
MultiIndex([(3, 4),
            (1, 2)],
           names=['a', 'b'])